E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||12|
|Section||Public Health and Epidemiology|
|Published online||10 November 2020|
Case Overview of Patients under Surveillance of COVID-19 in Central Java Province, Indonesia
1 Master of Epidemiology, Postgraduate School, Imam Barjo No. 5 Semarang, Indonesia
2 Department of Health, Central Java Province, Piere Tendean No. 24 Semarang, Indonesia
* Corresponding author: firstname.lastname@example.org
Central Java reported 1,541 cases of Patients Under Surveillance until April 14th, 2020. It is expected to increase everyday. However, reports about the epidemiological characteristics of Patients Under Surveillance cases are still limited. This study aims to describe Patients Under Surveillance case of COVID-19. The study used quantitative descriptive design, whereas many as 1,541 cases were described based on the characteristics, contact history, history of transit, and the symptoms. The data are obtained from the Department of Health, Central Java and processed with descriptive statistical data analysis. Results showed from 1,541 cases as much as 59.9% were male and 43% aged 19-44 years. As many as 154 death cases were dominated by men (61.6%) and elderly ≥60 years (38.3%). The highest IR was Semarang (16.85/100,000 population). Symptoms that often found were cough, fever, dyspnea (8.3%), and 3.96% asymptomatic. The history of contact with the traveling person (4.7%). The most visited city was Jakarta (7.5%). It is concluded that cases in Central Java spread across 35 cities with a high number of cases and mortality. It is necessary to conduct a detailed Patients Under Surveillance case reports to monitor the spread of the virus that can be prevented in advance.
Key words: COVID-19 / Patients under Surveillance / PDP / Descriptive
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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